Segmentation based medical image compression of brain magnetic resonance images using optimized convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16559-4.pdf
Reference33 articles.
1. Singh V (2021) Compression of MRI brain images based on automatic extraction of tumor region. International Journal of Electrical & Computer Engineering (2088–8708), 11(5)
2. Dhouib D, Naït-Ali A, Olivier C, Naceur MS (2021) ROI-based compression strategy of 3D MRI brain datasets for wireless communications. IRBM 42(3):146–153
3. Magar SS, Sridharan B (2020) Hybrid image compression technique using oscillation concept & quasi fractal. Heal Technol 10(1):313–320
4. Lim ST, Abd Manap NB (2022) A Region-based Compression Technique for Medical Image Compression using Principal Component Analysis (PCA). Int J Adv Comput Sci Appl 13(2)
5. Manimekalai MAP, Vasanthi NA (2019) Hybrid Lempel–Ziv–Welch and clipped histogram equalization based medical image compression. Clust Comput 22(5):12805–12816
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